# Lead - Artificial Intelligence Engineer

> Emaratech · Cairo, Egypt · Full-time · Posted 2026-10-26

**Workplace:** on_site

**Department:** emaratech G

## Description

**Lead AI Engineer (Python / LLM / Agentic AI)**

**Job Description**

We are looking for an experienced **Lead AI Engineer** to design, develop, and deliver production-ready AI applications and backend services.

The ideal candidate combines strong Python backend engineering skills with hands-on experience building LLM-powered applications, AI agents, and intelligent automation solutions.

**Key Responsibilities**

-   Design, develop, and maintain scalable backend services and AI-powered applications using Python.
-   Design and implement **AI agents and agentic workflows**, including tool calling, orchestration, multi-step reasoning, and multi-agent collaboration.
-   Build LLM-powered solutions using **RAG, embeddings, vector databases, and structured outputs**.
-   Integrate LLMs with internal systems, enterprise APIs, and external services using MCP and other integration approaches.
-   Evaluate and optimize AI solutions for accuracy, reliability, performance, latency, and cost.
-   Design scalable architectures using asynchronous processing, message queues, caching, and event-driven patterns.
-   Implement AI security controls, including prompt injection protection, data privacy, access control, and safe tool execution.
-   Build and deploy production-ready services with proper testing, monitoring, logging, and error handling.
-   Collaborate with product and engineering teams to translate business requirements into technical solutions.
-   Lead technical design discussions, review code, mentor engineers, and establish engineering best practices.

## Requirements

**Job Requirements**

**Required Qualifications**

-   7+ years of professional software engineering experience, including at least 2 years of backend development using Python.
-   Strong experience with **Python, FastAPI, asynchronous programming, and Pydantic**.
-   Hands-on experience developing and deploying **LLM-powered applications in production**.
-   Practical experience with **AI agents, tool/function calling, and agent orchestration frameworks**, such as LangGraph, LangChain, or equivalent solutions.
-   Strong understanding of **RAG architectures, embeddings, semantic search, and vector databases**.
-   Experience integrating LLMs through APIs, including structured outputs, prompt engineering, and handling model failures.
-   Experience evaluating LLM applications, including response quality, hallucinations, reliability, and performance.
-   Solid understanding of distributed systems, message queues, caching, retries, idempotency, and persistent state management.
-   Experience with **PostgreSQL, Redis, Docker, and REST APIs**.
-   Strong knowledge of automated testing, clean architecture, design patterns, and code quality practices.
-   Experience designing and delivering major features or products from concept to production.
-   Strong analytical, troubleshooting, communication, and technical leadership skills.

-   Experience with **Model Context Protocol (MCP)** and building MCP servers or clients.
-   Experience with advanced agent orchestration, multi-agent architectures, and human-in-the-loop workflows.
-   Experience with **Qdrant, pgvector, Pinecone**, or similar vector databases.
-   Experience with **NATS, Kafka**, or other event-driven messaging technologies.

## Apply

[Apply at Emaratech](https://apply.workable.com/emaratech-2/j/E0156A83A6/apply)

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